Generative AI thinks — but agentic AI acts. This microbook breaks down how autonomous digital workers sense, plan, and execute real business tasks, why most corporate rollouts end in a graveyard of broken bots, and which distinctly human skills remain irreplaceable when machines start outperforming us on logic itself.

Agentic Artificial Intelligence

New products, new technologies. See the future with the eyes of ingenuity.

Technology & Innovation

Take a sneak-peek into the private lives of people who left a mark in world history.

Biographies & Memoirs

From a reform school in Kentucky to the helm of a three-trillion-dollar company, Jensen Huang's story is inseparable from the chips powering modern AI. This microbook traces how Nvidia transformed gaming hardware into the backbone of artificial intelligence — and what it means for the world when the cost of reasoning approaches zero.

The Thinking Machine

AI triggers the same fears every transformative technology once did — and, just like before, those fears may be costing us more than we realize. This microbook explores how iterative experimentation, open access, and human-AI collaboration can unlock a future of expanded agency, better health, smarter governance, and unprecedented individual capability.

Superagency

Behind ChatGPT's polished interface lies a story of scraped data, exploited workers, drained aquifers, and concentrated power. Empire of AI traces how OpenAI transformed from a nonprofit promising to save humanity into a corporate empire — and how a small group of billionaires made decisions that affect everyone on Earth without asking anyone.

Empire of AI

AI governance is no longer optional — it's what separates organizations that thrive from those that face regulators, lawsuits, and eroded trust. This microbook breaks down the real risks of deploying AI, from hallucinations to bias to environmental costs, and shows how to build oversight structures that turn a volatile technology into a genuine competitive advantage.

Governing the Machine

Artificial intelligence is not magic — it is simply cheap prediction. This microbook breaks down how falling prediction costs reshape decisions, jobs, and business strategy, using real cases from Amazon, Google, and others to show what gets more valuable when machines handle the forecasting and what that means for the humans still in the loop.

Prediction Machines

AI is already reshaping business at a speed most leaders aren't ready for. This microbook walks you through why waiting is the most dangerous strategy, how human-plus-machine collaboration unlocks real competitive advantage, and what concrete steps — from internal AI councils to live prototypes — actually move organizations forward before the window closes.

AI First

The biggest tech story of our time may be a carefully constructed illusion. This microbook unpacks how 'artificial intelligence' became a marketing label, who profits from the confusion, and what real harms are already unfolding — from wrongful arrests to exploited workers. Clear-eyed and urgent, it gives you the tools to question the hype.

THE AI CON

What great leaders are made of? Learn from the people who have more to offer in the realm of leadership than just words. 

Management & Leadership

Most AI projects fail not because of bad technology, but because of people, fear, and culture. Sol Rashidi draws on real deployments — starting with IBM Watson in 2011 — to show leaders how to start small, choose the right use cases, manage change honestly, and keep humans in the loop before the machine gets it wrong.

Your AI Survival Guide

The best microbooks of the week, selected by our team. Stay tuned to the latest trends in the world of literature and knowledge.

Radar 12min

Radar 12min is a narrative audio journalism show produced by 12min. Each episode takes one relevant topic and turns it into a dense, direct story — no filler, no fluff. You get verified facts, real context, and a closing section that helps you think through what to actually do with the information. This episode is about artificial intelligence... but not the kind you've already heard about a hundred times. It's about what AI is doing right now, in the real world.

Five real stories about what AI is already capable of doing

Radar twelve min tracks what is shifting in the worlds of technology, science, and business and translates it into useful reading. No alarmism, no hype, just enough context for you to form your own opinion about what is coming.

TRIBE V2 — THE MACHINE THAT LEARNED TO READ THE BRAIN

An Austrian programmer built in one hour the software that is transforming China. OpenClaw is an open-source AI agent that does not just talk... it acts: it replies to emails, operates programs, buys tickets, and works around the clock. Millions of Chinese are "raising lobsters," local governments are offering multimillion-yuan subsidies, and a new model of one-person companies is emerging. But the security risks are real. This Radar covers both sides of the revolution.

What Is OpenClaw and Why It Matters

Meta invested fourteen billion dollars, built a superintelligence lab from scratch, and launched Muse Spark, its new AI model. This Radar breaks down what it does, where it beats and where it loses to OpenAI, Google, and Anthropic, why Meta abandoned open source, and what changes for anyone using WhatsApp and Instagram.

Muse Spark... Meta spent 14 billion on its new super AI

While five hundred million people were chasing Pikachu, the company behind Pokémon GO was quietly amassing thirty billion images of the real world. Now, that database powers delivery robots that navigate sidewalks with centimeter-level precision. This Radar investigates how a mobile game became the largest visual crowdsourcing project in history, who owns that data today, and why it matters to anyone who has ever downloaded a free app.

Pokémon Go, the CIA, and thirty billion images: The invisible price of a free game

This Radar investigates Kuse AI and its product Junior, a virtual employee that operates twenty-four hours a day inside the tools companies already use. The text analyzes how the technology works in practice, what infrastructure supports it, who is already using it, how much it costs and what economic data says about the real impact of automation on the job market.

Virtual employee: two thousand companies are already in line

Stuart Russell warns that the real danger of superintelligent machines is not malice but blind obedience to badly defined goals. This microbook lays out three principles for building Artificial Intelligence that stays humble, uncertain, and permanently aligned with human values.

AI For Our Favor

A practical guide to the full lifecycle of machine learning systems — from aligning business and model metrics to shadow deployment, data drift monitoring, and continuous learning in production.

AI (Artificial Intelligence)

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